Large language models for education: A survey and outlook
The advent of Large Language Models (LLMs) has brought in a new era of possibilities in
the realm of education. This survey paper summarizes the various technologies of LLMs in …
the realm of education. This survey paper summarizes the various technologies of LLMs in …
A chain-of-thought prompting approach with llms for evaluating students' formative assessment responses in science
This paper explores the use of large language models (LLMs) to score and explain short-
answer assessments in K-12 science. While existing methods can score more structured …
answer assessments in K-12 science. While existing methods can score more structured …
[HTML][HTML] Enhancing Automated Scoring of Math Self-Explanation Quality Using LLM-Generated Datasets: A Semi-Supervised Approach
In the realm of mathematics education, self-explanation stands as a crucial learning
mechanism, allowing learners to articulate their comprehension of intricate mathematical …
mechanism, allowing learners to articulate their comprehension of intricate mathematical …
[HTML][HTML] Crosslingual content scoring in five languages using machine-translation and multilingual transformer models
A Horbach, J Pehlke, R Laarmann-Quante… - International Journal of …, 2023 - Springer
This paper investigates crosslingual content scoring, a scenario where scoring models
trained on learner data in one language are applied to data in a different language. We …
trained on learner data in one language are applied to data in a different language. We …
Teach me how to improve my argumentation skills: A survey on feedback in argumentation
C Guerraoui, P Reisert, N Inoue, FS Mim… - arXiv preprint arXiv …, 2023 - arxiv.org
The use of argumentation in education has been shown to improve critical thinking skills for
end-users such as students, and computational models for argumentation have been …
end-users such as students, and computational models for argumentation have been …
Japanese-English Sentence Translation Exercises Dataset for Automatic Grading
N Miura, H Funayama, S Kikuchi… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper proposes the task of automatic assessment of Sentence Translation Exercises
(STEs), that have been used in the early stage of L2 language learning. We formalize the …
(STEs), that have been used in the early stage of L2 language learning. We formalize the …
Large Language Models for Career Readiness Prediction
Abstract Large Language Models (LLMs) have recently achieved state-of-the-art
performance on many benchmark Natural Language Processing (NLP) tasks. In this work …
performance on many benchmark Natural Language Processing (NLP) tasks. In this work …
[PDF][PDF] Examining LLM Prompting Strategies for Automatic Evaluation of Learner-Created Computational Artifacts
Recent advancements in automatic evaluation have made significant progress, yet
evaluating learner-created computational artifacts such as project-based code remains …
evaluating learner-created computational artifacts such as project-based code remains …
国語記述問題自動採点システムの開発と評価
石井雄隆， 舟山弘晃， 松林優一郎… - 日本教育工学会研究報告 …, 2024 - jstage.jst.go.jp
抄録 本研究では, 国語記述式読解問題の自動採点システムを開発し, その評価を行った.
このシステムでは, 学習者の回答内容を AI が自動で採点し, 採点基準と部分点を即時的に …
このシステムでは, 学習者の回答内容を AI が自動で採点し, 採点基準と部分点を即時的に …